Faculty of Electrical Engineering and Informatics, University of Technology Košice

Keywords

data mining, moving object, trajectory pattern, trajectory outlier

Annotation

Currently there is a lot of devices that provide information about objects and this together with location-based services accumulate huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks - mining moving object data patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm that we applied on two real-world data sets.

Abstract

Currently there is a lot of devices that provide information about objects together with location-based services accumulate huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks - mining moving object data patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm when we applied it on two real-world data sets.